Overview
Across Nigerian campuses, AI tools had become part of daily academic life within a few semesters. Students drafted essays and summarised readings with chatbots, lecturers experimented with AI to prepare materials, and administrative teams used public tools to tidy correspondence and reports.
Most of the ten institutions in this programme had no written position on any of it. Where guidance existed, it tended to be a blanket ban that staff could not enforce and students quietly ignored. The colleges of education faced a further concern, because the teachers they train carry their habits into classrooms across the country.
Leadership at each institution wanted the same outcome: a campus community that could use AI with skill and honesty, and a common standard that lecturers could teach and assess against.
The challenge
- Widespread student use of generative AI, with no shared rules on what counted as acceptable
- Lecturers unsure how to set, supervise and grade work when AI is within every student's reach
- Administrative staff entering personal and institutional data into public AI tools
- Few institutional AI policies, and limited in-house capacity to write and enforce them
- Trainee teachers preparing to lead classrooms where AI literacy will soon be expected
Our approach
TrustLed AI delivered UAICIP as a single programme for the whole campus community, with every participant starting from the same foundation. The Shared Foundation covered how AI systems work, where they fail, bias and fairness, data protection under the Nigeria Data Protection Act 2023, and what academic integrity requires when AI is involved.
Participants then moved into a track built for their role:
Every module closed with a knowledge check, and each track ended with a final assessment that participants had to pass to earn certification. Our facilitators drew examples from Nigerian academic life, so the scenarios felt familiar to every cohort.
How we delivered
- 01
Readiness review
We met each institution's leadership to understand current AI use, existing guidance and priorities.
- 02
Delivery plan
We agreed cohorts, schedules and track numbers that fitted each academic calendar.
- 03
Training and assessment
Participants completed the Shared Foundation and their role track, followed by the final assessment.
- 04
Certification and reporting
We certified successful participants and gave management a summary of results and next steps.
Results
Ten institutions now share a common vocabulary and standard for responsible AI use. Students know what they may use AI for and how to declare it, lecturers have practical methods for assessment and supervision, and administrators have clear rules for protecting institutional data.
Each institution's leadership received a report on participation, assessment results and areas to strengthen, giving them an evidence base for their own AI policies.
[Short quote from a vice-chancellor, provost or registrar about the programme's impact.]